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Saurabh DantaniFull Stack Developer
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Data Engineering & Automation

Web Scraping & Browser Automation Services

Stop losing hours to manual data collection or getting blocked by anti-bot walls. I build enterprise scraping engines and scheduled data pipelines using Playwright, Puppeteer, and Python that deliver clean, structured data on autopilot.

Engineered to Overcome Complex Anti-Scraping Defenses

Modern websites use sophisticated bot detection, fingerprinting, and dynamic JavaScript rendering. Here is how we build extraction pipelines that reliably collect data at scale.

Headless Browser Cluster Orchestration

Execution using Playwright and Puppeteer across dynamic single-page apps (SPAs), infinite scrolling grids, shadow DOMs, canvas elements, and client-rendered JavaScript that standard HTTP scrapers fail to read.

Anti-Bot & WAF Defense Evasion

Stealth configurations engineered to bypass Cloudflare Turnstile, Datadome, Akamai, and PerimeterX. Includes TLS fingerprint matching, canvas spoofing, user-agent rotation, and human behavior emulation.

Residential & Mobile Proxy Pools

Automated IP rotation across millions of geo-targeted residential and 4G/5G mobile proxies. Intelligent sticky sessions, automatic retry backoffs, and ban detection to ensure 99.8% extraction completion.

Automated ETL & Schema Validation

Strict data transformation using Pydantic and Zod. Automated deduplication, type casting, normalization, and direct streaming into PostgreSQL, MongoDB, Pinecone, or S3 buckets.

Scheduled Cron & Event-Driven Triggers

Autonomous cron pipelines running on Docker, AWS ECS, or serverless workers. Webhook triggers that dispatch clean records into your CRM, Slack inboxes, or proprietary downstream models.

Automated CAPTCHA Solving

Integrated API solvers for reCAPTCHA v2/v3, hCaptcha, GeeTest, and image puzzles with sub-5-second turnaround times and zero manual human oversight.

High-Value Scraping Use Cases

B2B lead generation from LinkedIn, Apollo, and niche directories
Real estate listing aggregation (Zillow, Realtor, Redfin)
E-commerce price monitoring and inventory tracking (Amazon, Walmart, Shopify)
Financial data extraction and sentiment indexing
Job market analytics and compensation benchmarking
Regulatory, public records, and court filing extraction

How We Build Your Extraction Pipeline

From initial defense audit to scheduled production deployment, every step is tested against live anti-bot firewalls.

01

Target Profiling & DOM Analysis

We analyze target site defenses (WAFs, rate limits, CAPTCHAs), map out data structures, and determine the optimal proxy architecture.

02

Stealth Prototype & Validation

We deploy test scraper workers against 1,000 live records to measure evasion reliability, selector stability, and throughput.

03

Production Pipeline & Storage

We containerize the engine, integrate proxy rotation pools, write database ingestion routines, and set up cron schedules.

04

Monitoring & Handover

We configure DOM change alert webhooks, verify automated exports, and transfer repository credentials with complete setup guides.

Production Case Study

Python Web Scraping & Data Intelligence Platform

Engineered a distributed Python scraping system that processes thousands of competitor catalog pages daily. Integrated residential proxy rotation, Playwright headless workers, and automated deduplication routines with zero IP bans.

50K+
Pages Daily
99.8%
Extraction Success
0 Bans
Anti-Bot Shield
Read Full Scraping Case Study
Scraping Stack
PlaywrightPythonPuppeteerResidential ProxiesDockerPostgreSQLRedisAWS EC2

Transparent Scraping Pricing Models

Clear fixed-fee proposals based on target complexity and anti-bot defense level.

Target Site Scraper

$1,200 – $2,200
Typical timeline: 1–2 weeks

Custom scraper for a single complex target with anti-bot evasion and structured export.

  • Single dynamic target site extraction
  • Playwright / Python engine build
  • Anti-detect & proxy rotation setup
  • CSV / JSON / Database export
  • Docker containerized deployment
Choose Target Site Scraper
Most Common

Multi-Source Data Engine

$2,800 – $5,500
Typical timeline: 3–5 weeks

Continuous data pipeline aggregating 3–5 sources with automated deduplication & CRM ingestion.

  • 3 to 5 target platforms with custom parsers
  • Automated scheduled cron workers
  • Centralized PostgreSQL / MongoDB storage
  • Automated CAPTCHA solver integration
  • Direct API / webhook sync into your app
  • 30-day selector maintenance warranty
Choose Multi-Source Data Engine

Pipeline Maintenance Retainer

$1,500 / month
Typical timeline: Ongoing monthly

Continuous monitoring, proxy orchestration, and instant DOM selector fixes when targets update.

  • Daily health monitoring & alerts
  • Immediate selector updates within 24 hours
  • Proxy pool bandwidth management
  • New data field additions on demand
  • Monthly data quality audits
Choose Pipeline Maintenance Retainer

Frequently Asked Questions

Answers to technical, legal, and operational questions about custom data scraping.

Is web scraping legal?

Yes, scraping publicly available facts and data is legal under landmark court precedents, including the US 9th Circuit Court of Appeals ruling in hiQ Labs v. LinkedIn (2022). Scraping does not violate the CFAA when accessing public data that does not require login credentials or circumvent authentication barriers.

How do you handle websites that block IP addresses or show Cloudflare challenges?

I use stealth browser automation with patched Chromium binaries, TLS fingerprint spoofing, and rotating residential IP pools where requests emanate from genuine ISP nodes. For CAPTCHAs, automated solver APIs resolve challenges in under 4 seconds.

What happens when the target website redesigns its layout or changes its code?

Target websites periodically update their HTML. I build resilient scrapers using semantic selectors, schema markup anchors, and API endpoint interception rather than brittle CSS classes. Every project also includes automated failure alerts and 30 days of free selector maintenance.

In what format can the extracted data be delivered?

Data can be streamed directly into your database (PostgreSQL, MongoDB, Supabase), stored as JSON/CSV in an Amazon S3 bucket, delivered via real-time webhooks, or injected directly into tools like Airtable, Google Sheets, or your CRM.

Related Scraping Guides & Projects

Ready to Automate Your Data Collection?

Send me your target URL and requested data fields. I will evaluate anti-bot defenses and return a clear technical proposal.

Get a Scraping Proposal